KR20200055165A - Service system for recommending urgently expert - Google Patents

Abstract

According to the present invention, disclosed is an expert emergency recommendation service system. The present invention can provide a user with expert consultation and processing services for an emergency situation by connecting the user and an expert in real-time in the emergency situation wherein an expert legal consultation is required.

Description

Expert Emergency Recommendation Service System {SERVICE SYSTEM FOR RECOMMENDING URGENTLY EXPERT}

The present invention is an invention related to an expert emergency recommendation service system, and more specifically, an expert emergency providing a user with an expert consultation and processing service for an emergency by connecting users and experts in real time in an emergency situation requiring expert legal advice. It is related to a recommended service system.

When a general user has a legal inquiry (for example, reviewing a contract, handling a traffic accident, etc.), it is difficult to find a suitable legal expert for the inquiry and receive counseling in terms of time, space, and money.

Recently, due to the rapid development of technologies related to networks, systems have been developed that can implement functional programs suitable for each field on a website and provide legal information and legal consultation procedures using the Internet.

In Korean Patent Application Publication No. 2003-0003211 (invention name: Internet Legal Consultation), after receiving the inquiry contents about the request case from the client of the lawsuit, the legal experts such as the registered lawyers registered in advance A configuration for receiving a review opinion, an answer, a solution, etc. is disclosed.

In addition, in Korean Patent Publication No. 10-2013-0098511 (invention name: legal expert ranking service method and system), the professional field of the legal expert (collectively, the main handling field is referred to as a specialized field for convenience) Alternatively, a configuration has been disclosed in which the ranking information of a legal expert for each specialty field is calculated and provided to the requested user terminal through the number of incidents.

However, the legal service system according to the related art has a problem that a user needs to search for a corresponding lawyer in a field of interest and thus requires a lot of time and effort to find a suitable lawyer.

In addition, the legal service system according to the prior art is configured to obtain legal advice through a method such as a preliminary reservation consultation with an attorney searched by a user, and when an emergency situation such as a traffic accident occurs, receive advice from a lawyer in real time There is a problem in that the user is legally damaged or loses.

In addition, it is very difficult to find a legal expert who can help the general public to provide immediate legal advice or treatment in an emergency, and furthermore, in case of an emergency at night or on a holiday, receiving expert legal advice and help in real time It has a more difficult problem.

Literature 1. Korean Patent Application Publication No. 10-2003-0003211 (Invention name: Internet Legal Consultation) Document 2. Korean Patent Application Publication No. 10-2013-0098511 (Invention name: Legal expert ranking service method and system)

In order to solve these problems, the present invention provides an expert emergency recommendation service system that provides users with expert advice and processing services for emergency situations by connecting users and experts in real time in an emergency situation requiring expert legal advice. The purpose.

In order to achieve the above object, the present invention analyzes the urgent advisory request information through a preset AI machine learning program when the urgent advisory request information and location information are input from a user terminal accessed through a network. At least one expert terminal connected to the network, classified according to content and user location, and determined that artificial intelligence is possible as to whether the classified user's advisory field and advisory content can reach the user location within a certain time. When the response to the emergency advisory request is received from at least one expert terminal that has received the advisory content, the expert database storing the profile information of the expert linked to the expert terminal that has transmitted the correspondence information is And a service server that generates expert list information by searching for expert profile information, and provides the generated expert list information and the expert profile information to the user terminal.

In addition, the location information of the user terminal and the location information of the expert terminal according to the present invention are any one of location information, GPS signals, IP addresses, and specific location information on a map application that is analyzed by artificial intelligence through text or voice input. It is characterized by being.

In addition, the service server according to the present invention searches for expert sector information associated with an expert terminal connected to the network, extracts an expert terminal matching the classified advisory field, and advises the extracted expert terminal It is characterized by transmitting the field and advisory content.

In addition, the service server according to the present invention analyzes the emergency advisory request information input from the user terminal to classify the advisory field and advisory content, and the classified advisory field and advisory content among at least one expert terminal connected to the network. And extracting an expert terminal corresponding to the location information to provide advisory content and location information to the extracted expert terminal, and when response information of the emergency advisory request is received from the expert terminal receiving the advisory content and location information, Search for the expert's profile information in the expert database that stores the profile information of the expert linked with the expert terminal that has transmitted the corresponding information, generate expert list information, and generate the expert list information and the expert's profile information. An expert selection unit provided to the user terminal; An at least one expert terminal receiving at least one expert terminal that has received the user's advisory content, and a commission renewal unit for managing the result of the incident request for the emergency advisory request between a user terminal and any expert terminal that has received correspondence information for the emergency advisory request; And a commission management unit that manages a real-time connection between the user terminal and the expert terminal who has committed the event.

In addition, the expert selection unit according to the present invention is a classification unit that classifies the advisory field, advisory content and location information by analyzing emergency advisory request information and location information input from a user terminal; Search for an expert terminal connected to the network, extract an expert terminal corresponding to the classified user's advisory field from among the searched expert terminals, provide advisory content and location information to the extracted expert terminal, and provide the advisory content When the correspondence information of the urgent advisory request is received from the expert terminal that has received the location information, the profile information of the expert is retrieved from the expert database storing the expert's profile information linked to the expert terminal that has transmitted the correspondence information. An expert extractor to generate expert list information, and to provide the generated expert list information and the expert profile information to the user terminal; And an expert database that stores profile information of an expert linked with the expert terminal, and provides profile information of the expert searched according to the request of the expert extraction unit.

In addition, the expert selection unit according to the present invention is characterized in that it further comprises an online update unit for updating the information on the expert terminal connected to the network, and providing it to the expert extraction unit if the response information is not received after a certain period of time. .

The present invention has an advantage of providing a user with an expert consultation and processing service for an emergency situation by connecting a user and an expert in real time in an emergency situation requiring expert legal advice.

In addition, the present invention has the advantage that it is possible to reduce the problem that the general users are legally harmed or harmed through legal advice and help by experts in an emergency situation, and can improve the legal convenience of the user. have.

1 is a block diagram schematically showing an expert emergency recommendation service system according to the present invention.
Figure 2 is a block diagram showing the configuration of the service server of the expert emergency recommendation service system according to the present invention.
Figure 3 is a block diagram showing the configuration of the expert selection unit of the service server according to Figure 2;
Figure 4 is a flow chart showing the operation process of the expert emergency recommendation service system according to the present invention.

Hereinafter, preferred embodiments of the expert emergency recommendation service system according to the present invention will be described in detail with reference to the accompanying drawings.

In this specification, the expression that a part “includes” a certain component does not exclude other components, but may mean that other components may be further included.

In addition, terms such as "‥ unit", "‥ group", "‥ module" mean a unit that processes at least one function or operation, which can be divided into hardware or software, or a combination of the two.

1 is a block diagram schematically showing an expert emergency recommendation service system according to the present invention, FIG. 2 is a block diagram showing a configuration of a service server of an expert emergency recommendation service system according to the present invention, and FIG. 3 is according to FIG. It is a block diagram showing the configuration of the expert selection unit of the service server.

1 to 3, the expert emergency recommendation service system according to the present invention connects a user and an expert in real time in an emergency situation where expert legal advice is needed, and provides an expert advisory and processing service for an emergency situation to the user It is configured to include a user terminal 100, a service server 200, and an expert terminal 300 to enable.

The user terminal 100 is a terminal such as a desktop PC, a notebook PC, a tablet PC, and a smartphone having an input means such as a keyboard, mouse, touch pad, and touch screen, and a display screen, but is not limited thereto. Through the access to the service server 200, it is possible to enter the emergency advisory request information, expert selection information and location information, it is possible to analyze the emergency advisory request information through a preset AI machine learning program, the service server If the device is a device capable of processing digital information capable of installing an application program capable of displaying the expert list information and the expert's profile information transmitted from 200, or both, it may be included.

In addition, through the network, another user terminal 1 (100a) ‥ user terminal n (100b), etc. in an emergency situation requiring expert legal advice can access the service server 200.

The expert is any one of a lawyer, patent attorney, lawyer, tax accountant, accountant, and certified broker, but is not limited thereto, and may include all experts in fields requiring professional answers, such as science and technology and medical technology, in addition to legal answers.

Emergency situations that require legal advice from the above experts include real-time lawyers, etc., due to the occurrence of civil / criminal cases, such as traffic accidents, assault cases, or incidents involving an unrelated person to the victim. If you do not receive expert advice from the company, you may be legally harmed or damaged.

The urgent advisory request information is the user terminal 100 and the service server 200 through the execution of an application program pre-installed in the user terminal 100 or a click (or selection) of a connection icon pre-installed in the user terminal 100. ) Is connected, and when the user inputs the consultation contents through the user terminal 100, the consultation contents are transmitted to the service server 200.

In addition, information including text, voice, photos, and the like is transmitted to the advisory contents.

In addition, the user terminal 100 provides either a GPS signal or an IP address to the service server 200 as location information.

That is, the location information provides the GPS signal as location information when the user terminal 100 is a mobile communication terminal having a GPS sensor such as a smartphone, and provides the IP address as the location information converted in the case of a PC or an Internet terminal.

In addition, the location information may be input by a user directly through text input or voice input, or a map application program may be executed and then a specific location on the executed map image may be selected or input.

In addition, when a user's location is directly input through text input or voice input, location information may be used by analyzing a location on a map using natural language processing artificial intelligence.

When the emergency advisory request information and location information are input from different user terminals 100, user terminals 1 (100a), and user terminals n (100b) accessed through a network, the service server 200 may input the emergency advisories. The requested information is analyzed through a preset AI machine learning program, and classified according to the advisory field, advisory content, and user location, and whether the classified advisory field and advisory content can be reached within a predetermined time at the user location. Search for one or more different expert terminals 300, expert terminal 1 (300a) ‥ expert terminal n (300b), which is determined to be capable of intelligence, and confirm the availability of the advisory content, and then list the list of available experts As a configuration that provides the profile information of the experts to the user terminal 100, the user terminal 1 (100a), the user terminal n (100b) to which the relevant advisory content is transmitted, the expert selection unit 210 and the commission renewal unit 220 ), And a commission management unit 230.

The expert selection unit 210 analyzes urgent advisory request information input from the user terminal 100 to classify the advisory field and advisory contents through an artificial intelligence machine learning program, and at least one expert terminal 300 connected to the network ), Expert terminal 1 (300a) ‥ expert terminal n (300b) is searched for the searched expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) set tag information such as advisory fields, and location At least one expert terminal 300, an expert who checks the information and meets the classified advisory field, advisory content and location information among the expert terminal 300 and expert terminal 1 (300a) ‥ expert terminal n (300b) Terminal 1 (300a) ‥ Expert terminal n (300b) is extracted to provide advisory content and location information received from the user terminal (100).

The machine learning program using artificial intelligence (hereinafter referred to as artificial intelligence machine learning program) extracts keywords that are legally meaningful using a natural language processing function, and extracts a topic using a topic modeling algorithm.

In addition, the artificial intelligence machine learning program extracts the most similar results by extracting keywords from natural language query information and then searching for precedents, laws, and answers to questions created by existing experts.

To explain this in more detail, the artificial intelligence machine learning program selects keywords and topics, and questions stored in the Q / A database or external database using the keywords and topics in a Q / A database or an external database connected through a network. / Select the question / answer most similar to the question from the information on the answer.

At this time, the legal field and the keyword may be displayed together.

In addition, whenever the user spacing in the selection process, the candidate words of the current natural language question can be updated with the artificial intelligence machine learning program, and the result can be updated and updated through a screen, etc. It can be achieved by improving the search speed.

The query query is information including at least one of a query field, a query sentence, and a query keyword.

The process of extracting keywords from natural language questions involves crawling the natural language processing module, keyword extraction logic, and various information (for example, information obtained through machine learning, information written by legal experts, and open information written on websites). Extracted through and when the state change of the natural language question occurs, the artificial intelligence machine learning program is called accordingly to update the adopted answer so that the updated information can be provided on the displayed screen.

The keyword means a legally important word among words extracted from the question sentence, and the topic means a subject word that can cluster (cluster) the question.

In addition, the expert selection unit 210 is capable of responding to the emergency advisory request information from at least one expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) receiving the consultation content When received, the expert terminal 300 that transmitted the correspondence information, the expert terminal 1 (300a) ‥ expert profile information stored in the expert database 213 that stores the profile information of the expert linked to the expert terminal n (300b) Search to generate expert list information, provide the generated expert list information and the profile information of the expert to the user terminal 100, a classification unit 211, an expert extraction unit 212, and an expert database ( 213), and an online update unit 214.

The classification unit 211 is configured to classify the advisory field, advisory content, and location information by analyzing emergency advisory request information and location information input from the user terminal 100, and urgent advisory request input from the user terminal 100 The information is analyzed through an artificial intelligence machine learning program to extract at least one query and classify the advisory field and advisory content based on the extracted query.

In addition, when the urgent advisory request information is voice, it may be analyzed through a voice recognition program to extract at least one query, and based on the extracted query, an advisory field and advisory content may be extracted and classified.

The expert extracting unit 212 searches the expert terminal 300 and expert terminal 1 (300a) ‥ expert terminal n (300b) connected to the network, and the searched expert terminal 300 and expert terminal 1 (300a) ‥ Expert terminal information included in expert terminal n (300b) is extracted, and expert terminal 300 and expert terminal 1 (300a) corresponding to or meeting the classified user's advisory field are expert terminal n (300b). Select, and transmits the user's advisory content and location information to the selected expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b).

In addition, the expert extracting unit 212 extracts the advisory field of the expert, and then receives the location information of the expert terminal 300 and expert terminal 1 (300a) ‥ expert terminal n (300b) to Compared to the location information, the comparison results, the expert terminal 300, the expert terminal 1 (300a) located within a certain range from the location of the user terminal 100 ‥ expert terminal n (300b) of the user's advisory content and location information It may be configured to transmit.

The expert's advisory field information can be extracted from the searched expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) preset advisory field tag information, or the expert terminal 300, Expert terminal 1 (300a) ‥ expert terminal n (300b) can be extracted by searching the expert database 213 that stores expert information linked to it.

In addition, the expert extracting unit 212 receives information regarding the response of the emergency advisory request from the expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b), which has received the consultation content and location information, The expert terminal 300, the expert terminal 1 300a, which has transmitted the correspondence information, retrieves the profile information of the expert linked with the expert terminal n 300b from the expert database 213.

In addition, the expert extracting unit 212 generates expert list information using the searched expert information, and provides the generated expert list information and the expert profile information to the user terminal 100.

In addition, the expert extracting unit 212 may compare the retrieved expert's information with preset evaluation information to score and set a ranking, and then provide it to the user terminal 100.

In other words, the satisfaction level of the response to the consultation request, the friendliness of the expert, the promptness, and the result of processing the case are scored and the list of evaluation information evaluated by other users is provided, so that the user can check the provided expert information.

The expert database 213 displays the profile information of the expert including the expert's field of expertise and activity, according to a preset format, the expert's terminal 300, the expert's terminal 1 (300a) ‥ expert's terminal n (300b) Save in conjunction with.

In addition, the expert database 213 retrieves profile information of an expert linked with the expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) at the request of the expert extraction unit 212 It is provided to the expert extraction unit 212.

The online update unit 214 is a preset number of available information after a certain period of time has elapsed among the expert terminal 300 and expert terminal 1 300a to which the user's emergency advisory request information is transmitted. If no abnormality is received, the expert terminal 300 (300a, 300b) information connected to the network is updated to update the new expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) information to the expert extraction unit (212).

The commission renewal unit 220 is an expert terminal 300 that receives the content of the user's advice, expert terminal 1 (300a) ‥ expert terminal n (300b) of any expert terminal that has transmitted the information available for responding to the emergency advisory request , For example, receiving information on whether the case for the emergency advisory request has been made between the expert terminal 300 and the user terminal 100, and the result of the case receipt is transmitted to the expert selection unit 210 do.

The consignment management unit 230 manages such that text data, video data, and voice data are transmitted and received by connecting the user terminal 100 and the expert terminal 300 that has consigned the event in real time.

The expert terminal 300 is a terminal such as a desktop PC, a notebook PC, a tablet PC, and a smartphone having an input means such as a keyboard, mouse, touch pad, and touch screen, and a display screen, but is not limited thereto. It is possible to access the service server 200 through, it is possible to input the response information and location information for an emergency advisory request, and can display the user's advisory content information and location information transmitted from the service server 200 Any device that can process digital information capable of installing an application program or a configuration may be included.

In addition, different expert terminals 1 (300a) ‥ expert terminals n (300b), etc. may access the service server 200 through the network.

In addition, the location information of the expert terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) provides a GPS signal as location information when the expert terminal 300 is a mobile communication terminal such as a smartphone, In the case of a PC or Internet terminal, the IP address is provided as converted location information, and the expert enters the expert's location directly through text input or voice input, or launches the map application program and then executes a specific location on the executed map image. You can also select or enter.

The following describes the operation process of the expert emergency recommendation service system according to the present invention with reference to FIG. 4.

From the user terminal 100 connected to the service server 200 through the network, when emergency advisory request information and location information for any emergency situation are input (S10), the service server 200 receives the input emergency advisory The requested information is analyzed to classify the advisory field required by the user and the advisory content of the user.

The service server 200 searches for expert terminals accessing the classified user's advisory field and advisory contents in the network, and the searched expert terminal 300 and expert terminal 1 (300a) ‥ expert terminal n (300b) The expert terminal 300, the expert terminal 1 300a, and the expert terminal n 300b corresponding to or matching the advisory field of the classified user are extracted by extracting the information of the expert field included in the expert, and then the selected expert Terminal 300, expert terminal 1 (300a) ‥ expert terminal n (300b) transmits the user's advisory information and location information about the emergency (S20).

The service server 200 receives the advisory content from the expert terminal 300, the expert terminal 1 (300a) ‥ expert terminal n (300b), whether the response to the emergency advisory request is available (S30) If there is an expert terminal that has transmitted, the expert terminal 300 that has transmitted the transmittable information, the expert terminal 1 (300a) ‥ expert profile n (300b) and the profile information of the expert linked to the expert database 213 is retrieved , Produces list information of searched experts and provides the expert profile information to the user terminal 100 together with the generated expert list information (S40).

After the expert list information and the expert's profile information are transmitted to the user terminal 100, the service server 200 receives the selection information when the user terminal 100 selects information that selects an expert (S50). On the basis of the connection between the expert terminal 300 and the user terminal 100 (S60), various data is transmitted and received through a text message, a video call, a messenger, and the like.

In addition, the service server 200 allows the management of the incident (S70) so that the user terminal 100 and the expert terminal 300 can be consulted and processed for an emergency situation.

Therefore, it is possible to provide users with expert consultation and processing services for emergency situations by connecting users and experts in real-time in emergency situations requiring expert legal advice.

As described above, although described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You can understand that you can.

In addition, the drawing numbers described in the claims of the present invention are merely for clarity and convenience of explanation, and are not limited thereto. In the course of explaining the embodiment, the thickness of the lines or the size of components shown in the drawings, etc. May be exaggerated for clarity and convenience of description, and the above-described terms are terms defined in consideration of functions in the present invention, and may be changed according to the intention or custom of the user or operator, and thus, interpretation of these terms Should be made based on the contents throughout this specification.

100: user terminal
100a: User terminal 1
100b: user terminal n
200: service server
210: expert selection unit
211: classification
212: Expert extraction unit
213: expert database
214: online update unit
220: Commission renewal
230: Commission on Management
300: expert terminal
300a: Expert terminal 1
300b: expert terminal n

Claims (6)

When urgent advisory request information and location information are input from the user terminal 100 accessed through the network, the urgent advisory request information is analyzed through a preset AI machine learning program and classified according to the advisory field, advisory content, and user location And at least one expert terminal (300, 300a, 300b) connected to the network, which has determined that artificial intelligence is possible as to whether the classified user's advisory field and advisory content can reach the user location within a certain time. When it is possible to respond to the emergency advisory request from at least one expert terminal (300, 300a, 300b) receiving the content of the consultation, the expert terminal (300, 300a, 300b) that transmitted the correspondence information The expert database 213 storing the profile information of an expert linked with the expert information is searched to generate expert list information, and the generated expert list information and the expert profile information are stored in the user terminal 100. Expert emergency recommendation service system comprising a service server 200 provided by. According to claim 1,
The location information of the user terminal 100 and the location information of the expert terminals 300, 300a, 300b are location information analyzed by artificial intelligence of text or voice input, GPS signals, IP addresses, and specific locations on the map application Expert emergency recommendation service system, characterized in that any one of the information. According to claim 1,
The service server 200 searches for expert advisory field information associated with expert terminals 300, 300a, and 300b connected to the network, and then expert terminal 300, 300a, 300b corresponding to the classified user advisory field ), And transmitting the contents to the extracted expert terminals (300, 300a, 300b), the expert emergency recommendation service system. According to claim 1,
The service server 200 analyzes urgent advisory request information input from the user terminal 100 to classify the advisory field and advisory content, and among the at least one expert terminal 300, 300a, 300b connected to the network Expert terminals 300, 300a, and 300b that match the classified advisory fields, advisory contents, and location information are extracted to provide advisory contents and location information to the extracted expert terminals 300, 300a, 300b, and the advisory contents When the correspondence information of the urgent advisory request is received from the expert terminals 300, 300a, and 300b receiving the location information, the profile of the expert linked with the expert terminals 300, 300a, 300b that transmitted the correspondence information An expert selection unit that retrieves the expert's profile information from the expert database 213 storing information to generate expert list information, and provides the generated expert list information and the expert's profile information to the user terminal 100 (210);
Among the at least one expert terminal (300, 300a, 300b) that has received the contents of the user's consultation, between any expert terminal and the user terminal (100) that has received the available response information for the emergency consultation request, A commission renewal unit 220 that manages the results of the case commission; And
An expert emergency recommendation service system comprising a consignment management unit (230) that manages data to be transmitted and received by connecting in real time between the user terminal (100) and the expert terminal (300) responsible for the incident. The method of claim 4,
The expert selection unit 210 includes a classification unit 211 for classifying a user's advisory field, consultation content, and location information by analyzing emergency advisory request information and location information input from the user terminal 100;
Search for expert terminals (300, 300a, 300b) connected to the network, and among the searched expert terminals (300, 300a, 300b), expert terminals (300, 300a, 300b) that meet the advisory field of the classified user. Extracting, providing advisory content and location information to the extracted expert terminals 300, 300a, 300b, and responding to the emergency advisory request from expert terminals 300, 300a, 300b receiving the advisory content and location information When the available information is received, the expert's profile information is retrieved from the expert database 213 that stores the expert's profile information linked to the expert terminals 300, 300a, and 300b that have transmitted the correspondence information, and then obtains expert list information. An expert extracting unit 212 that generates and provides the generated expert list information and the expert's profile information to the user terminal 100; And
And an expert database (213) that stores profile information of experts linked with the expert terminals (300, 300a, 300b) and provides profile information of the expert searched at the request of the expert extracting unit (212). With expert emergency referral service system. The method of claim 5,
The expert selection unit 210 updates the information of the expert terminals 300, 300a, and 300b connected to the network when the available information is not received after a certain period of time, and is provided online to the expert extraction unit 212 Professional emergency recommendation service system further comprises an update unit (214).

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